Fernando Moreira da Silva
- Reproductive Medicine top 2%
- Sperm and Testicular Function 30
- Ovarian function and disorders 8
- Organic Chemistry top 2%
- Catalytic Cross-Coupling Reactions 6
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock 15
- Milk Quality and Mastitis in Dairy Cows 4
- Animal Science and Zoology top 5%
- Toxicology top 5%
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- Reproductive Biology and Fertility 32
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- Genetic and phenotypic traits in livestock 7
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- Seed Germination and Physiology 6
Fernando Moreira da Silva
74 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Reproductive Medicine 280
- Organic Chemistry 786
- Agronomy and Crop Science 176
- Animal Science and Zoology 150
- Toxicology 43
Countries citing papers authored by Fernando Moreira da Silva
This map shows the geographic impact of Fernando Moreira da Silva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fernando Moreira da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Moreira da Silva more than expected).
Fields of papers citing papers by Fernando Moreira da Silva
This network shows the impact of papers produced by Fernando Moreira da Silva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fernando Moreira da Silva. The network helps show where Fernando Moreira da Silva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Moreira da Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2017 | 8 | |
| 4 | 2016 | 28 | |
| 5 | 2015 | 27 | |
| 6 | Genetic relationships of the Portuguese Lidia bovine populations. | 2014 | 2 |
| 7 | 2014 | 9 | |
| 8 | 2013 | 40 | |
| 9 | 2012 | 7 | |
| 10 | 2011 | 13 | |
| 11 | 2011 | 15 | |
| 12 | 2010 | 55 | |
| 13 | 2010 | 11 | |
| 14 | 2010 | 31 | |
| 15 | Influence of manual harvest in the spatial variability of coffee yield and defoliation along two agricultural harvests. | 2008 | 2 |
| 16 | 2008 | 30 | |
| 17 | 2008 | 28 | |
| 18 | Determination of pregnancy-associated glycoproteins (bPAG) in cow’s milk | 2004 | 1 |
| 19 | Preliminary results for measuring bovine PAG in milk samples | 2002 | 2 |
| 20 | 1994 | 18 |
About Fernando Moreira da Silva
Fernando Moreira da Silva is a scholar working on Reproductive Medicine, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (32 papers), Sperm and Testicular Function (30 papers), Reproductive Physiology in Livestock (15 papers), Ovarian function and disorders (8 papers), Genetic and phenotypic traits in livestock (7 papers), Catalytic Cross-Coupling Reactions (6 papers), Seed Germination and Physiology (6 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). The work is most often cited by research in Reproductive Medicine (280 citations), Organic Chemistry (786 citations) and Agronomy and Crop Science (176 citations). Fernando Moreira da Silva has collaborated with scholars based in Portugal, Brazil and Egypt. Frequent co-authors include Ângelo C. Pinto, Simon J. Garden, A. Chaveiro, Alexandre F. Marques, Alireza Seidavi, Leila Asadpour, Christian Burvenich, Krishna Chaitanya Pavani, Marcio C. S. de Mattos and Erica Elias Baron. Their work appears in journals such as Food Chemistry, Tetrahedron Letters and Journal of Applied Polymer Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.